67 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at National Renewable Energy Laboratory NREL
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chemistry support to all research and development groups within the BEST directorate at NLR. To learn more about the research within this directorate, click here: https://www.nrel.gov/bioenergy . The team is
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Laboratory of the Rockies (NLR) is seeking is seeking a motivated and detail-oriented post-undergraduate intern for a 9-month, full-time position. To learn more about our research click here: https
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about the work this team does, click here: https://www.nrel.gov/bioenergy/biosystems-design . . Basic Qualifications Must be enrolled as a full-time student in a Bachelor's, Master's or PhD degree program
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with project team members on the following tasks: Analyze utility feeder data Analyze grid topologies and data corrections Quantify grid visibility criteria and conditions Determine best locations for
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production cost and resource adequacy models, statistical and data analysis—primarily for transmission planning and data center integration. You’ll collaborate with a dynamic team working with utilities
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. Collaborate with a multidisciplinary team of engineers, computer scientists, and data scientists to put research insights into open-source software products. Publish research findings in leading academic
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the BEST directorate at the National Laboratory of the Rockies (NLR) is seeking an summer undergraduate or post-undergraduate research intern to perform computational modeling and data analysis to enable
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, principles, procedures and practices related to specific field. Excellent leadership, communication, problem solving and project management skills. Ability to use various computer software programs. * Must
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commercial tools (e.g., PSSE, DIgSILENT PowerFactory, PSCAD) or open-source tools (e.g., ParaEMT, ANDES and others) Develop new types of electrical components (such as advanced pumped storage hydro, data
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applied research at the intersection of cybersecurity, energy systems, national resilience, and data-centric research infrastructure—developing the tools, architectures, methods, and scientific foundations